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All Journal Madani: Multidisciplinary Scientific Journal Parameter: Jurnal Matematika, Statistika dan Terapannya
Sari, Seli Delima
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Analisis Big Data Google Trends: Perspektif Pariwisata dan Pekerja Migran di Provinsi Bali Tahun 2022 Anasya, Hadisha Shafa; Purwoto, Agus; Maulina, Hersa; Mangiwa, Romario Desouza D.; Sari, Seli Delima
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 6 (2024): Madani, Vol 2, No. 6 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12171120

Abstract

Bali, known as the "Island of the Gods," is a popular tourist destination with natural beauty, rich culture, and the hospitality of the local people which form the backbone of the region's economy through the tourism sector. The year 2022 was crucial for Bali to recover its tourism sector, which was impacted by the COVID-19 pandemic, while facing challenges of changing worker migration patterns due to travel restrictions and global economic changes. This study aims to understand global public interest in tourism and search trends related to tourism, as well as migrant worker interest in Bali Province, using Google Trends analysis. The analysis was conducted using the accumulated searches for the keywords 'Bali' and 'Jobs Bali,' sorted by the countries whose residents searched for these keywords the most on Google Trends. The results show that interest in Bali as a tourist destination mostly comes from European countries, while searches for the keyword "Jobs Bali" are mostly conducted from Australia. The search trend for "Bali" increased throughout 2022, while searches for "Jobs Bali" tended to fluctuate. These findings indicate that the dissemination of information about tourism and employment opportunities in Bali Province is still uneven in several countries, necessitating the government to strengthen management and marketing strategies to revive the tourism and economy sectors in Bali Province.
APPLICATION OF THE ARIMA MODEL IN FORECASTING ETHEREUM PRICES Mangiwa, Romario Desouza Daniel; Siregar, Revina; Sari, Seli Delima; Agustina, Neli
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 1 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i1pp81-94

Abstract

Ethereum is one of the leading cryptocurrencies utilizing blockchain technology for peer-to-peer financial transactions. This study aims to forecast Ethereum's price using the Autoregressive Integrated Moving Average (ARIMA)model. Historical price data from January 1, 2023, to January 15, 2025, covering 534 periods, was analyzed. The ARIMA (0,1,9) model was selected based on AIC, SC, and Adjusted R-squared criteria, with forecast evaluation showing a Mean Absolute PercentageError (MAPE) of 15.01% and a Root Mean Squared Error (RMSE) of 649.702. Forecast results indicate an upward trend in Ethereum's price over the next 30 periods, with fluctuations being less pronounced compared to historical data. The study concludes that ARIMA provides reasonably accurate short-term predictions, although forecasting errors increase with longer prediction periods. These findings can serve as a reference for investors in developing short-term investment strategies for Ethereum.
Co-Authors Anasya, Hadisha Shafa Mangiwa, Romario Desouza D. Mangiwa, Romario Desouza Daniel Maulina, Hersa Neli Agustina Purwoto, Agus Siregar, Revina